We introduce a novel worm containment strategy that integrates two complementary worm quarantine techniques. The two techniques are linked, with one strategy employing the other as an indicator of worm infection. A group defense mechanism shares such indicators among neighboring networks, and when enough corroboration occurs, the network engages in traffic filtering to halt infection attempts.

We present an SSFnet-based microscopic simulation of the containment strategy against random scan worms, and explore various performance characteristics of the group defense mechanism. The simulation results help to characterize the conditions and degree to which the integrated quarantine strategy can both slow worm propagation and prevent the worm from reaching its full saturation potential.